Paper
4 March 2011 Search for the best matching ultrasound frame based on spatial and temporal saliencies
Shaolei Feng, Xiaoyan Xiang, S. Kevin Zhou, Roee Lazebnik
Author Affiliations +
Abstract
In this paper we present a generic system for fast and accurate retrieval of the best matching frame from Ultrasound video clips given a reference Ultrasound image. It is challenging to build a generic system to handle various lesion types without any prior information of the anatomic structures of the Ultrasound data. We propose to solve the problem based on both spatial and temporal saliency maps calculated from the Ultrasound images, which implicitly analyze the semantics of images and emphasize the anatomic regions of interest. The spatial saliency map describes the importance of the pixels of the reference image while the temporal saliency map further distinguishes the subtle changes of the anatomic structure in a video. A hierarchical comparison scheme based on a novel similarity measure is employed to locate the most similar frames quickly and precisely. Our system ensures the robustness, accuracy and efficiency. Experiments show that our system achieves more accurate results with fast speed.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shaolei Feng, Xiaoyan Xiang, S. Kevin Zhou, and Roee Lazebnik "Search for the best matching ultrasound frame based on spatial and temporal saliencies", Proc. SPIE 7963, Medical Imaging 2011: Computer-Aided Diagnosis, 79630N (4 March 2011); https://doi.org/10.1117/12.878341
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CITATIONS
Cited by 5 patents.
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KEYWORDS
Ultrasonography

Medical imaging

Brain mapping

Video

Image analysis

Feature extraction

Image retrieval

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